Data Science is a multidisciplinary field of study that combines advanced Mathematics, Statistical Analysis, Computer Science, Information Science, and Business Domain Knowledge. Data Science has existed for a long time; …
What is Content and Content Management?
Data gives us raw material, whereas Information is the processed form of Data. As per Wikipedia: Content is “something that is to be expressed through some medium, as speech, writing or …
Data Governance Readiness Assessment
Perform Readiness Assessments that describe the current state of an organization’s information management capabilities, maturity, and effectiveness are crucial to planning a Data Governance program. Because they can be used …
Data Governance Committees / Bodies
Data Governance Steering Committee The primary and highest authority organization for Data Governance in an organization, responsible for oversight, support, and funding of Data Governance activities. Consists of a cross-functional …
Data Steward – Stewardship Activities
In most cases, Data Stewardship activities will focus on: Creating and Managing Core Metadata: Definition and management of business terminology, valid data values, and other critical Metadata. Stewards are often …
How to Measure the Value of Data – NDMO (DVR-01)
NDMO (National Data Management Office) – DVR (Data Value Realization) Some ways to measure the value of your Data, include: For Your Further Reading:
Data Asset Accounting Principles
Accountability Principle: An organization must identify individual who are ultimately accountable for Data and Content of all types. Asset Principle: Data and Content of all types are assets and have …
Data Centric Organization
Data Centric Organization manages Data through all phases of its lifecycle, including ongoing operations and project development. To become data-centric, organization must change the way it translates strategy into action. …
Data Governance – How to Set a Strong Foundation?
The following principles were developed to help organization, in order to set a strong foundation for Data Governance. Leadership and StrategySuccessful Data Governance starts with visionary and committed leadership. Data …
Data Governance Program – Success Criteria
First of all, implementing a Data Governance program requires commitment to change. Secondly, Data Governance is not a project with a defined end; it is an ongoing process that requires …